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Clustering
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#	Item
321	Outlier Detection Using Clustering Methods: a data cleaning application Antonio Loureiro1, Luis Torgo2 , and Carlos Soares2 1 LIACC Add to Reading List Source URL: www.dcc.fc.up.pt Language: English - Date: 2012-12-13 10:18:40 Statistics Robust statistics Data mining Hierarchical clustering Network analysis Outlier Cluster analysis BIRCH Random sample consensus OPTICS algorithm Consensus clustering
322	Microsoft Word - tede_tokenmill_straipsnis.doc Add to Reading List Source URL: www.bpti.lt Language: English - Date: 2013-12-16 08:28:45 Natural language processing Computational linguistics Information science Artificial intelligence Data mining Speech recognition Artificial intelligence applications Document clustering Text mining Search engine indexing Document classification Information retrieval
323	Efficient face retrieval using synecdoches Brendan F. Klare Austin Blanton Benjamin Klein Add to Reading List Source URL: openbiometrics.org Language: English - Date: 2016-08-02 16:53:35 Information science Statistics Machine learning Search algorithms Geostatistics Data mining Cluster analysis K-medoids K-means clustering Spectral clustering Kernel method Locality-sensitive hashing
324	CONTIGUITY-CONSTRAINED PARTITIONING OF HETEROGENEOUS URBAN NETWORKS Mohammadreza Saeedmanesh Nikolas Geroliminis May 2016 Add to Reading List Source URL: www.strc.ch Language: English - Date: 2016-06-15 12:09:15 Computing Graph theory Fault-tolerant computer systems Mathematics Network analysis Cluster analysis Data mining Geostatistics Hierarchical clustering Computer cluster Graph partition High-availability cluster
325	Coastal Engineering–12 Contents lists available at ScienceDirect Coastal Engineering journal homepage: www.elsevier.com/locate/coastaleng Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Imaging Image segmentation Test set Multispectral image K-means clustering Data Artificial intelligence Learning
326	Department of Mathematics J. J. Strossmayer University of Osijek Series: Technical Reports Analysis of the $k$-means Add to Reading List Source URL: www.mathos.unios.hr Language: English - Date: 2014-08-13 00:36:15 K-means clustering Fuzzy clustering Large cardinals Symbol
327	Using Data Mining Techniques for Detecting Terror-Related Activities on the Web Y.Elovici1, A.Kandel2, M.Last1, B.Shapira1, O. Zaafrany1 1 Add to Reading List Source URL: www.ise.bgu.ac.il Language: English - Date: 2004-08-02 11:37:04 Data mining Statistics Cluster analysis Geostatistics Information Data Anomaly detection K-means clustering Multivariate statistics
328	BitShred: Feature Hashing Malware for Scalable Triage and Semantic Analysis Jiyong Jang David Brumley Add to Reading List Source URL: users.ece.cmu.edu Language: English - Date: 2014-05-29 15:38:01 Information science Information retrieval Hashing Information Search algorithms Jaccard index Malware analysis Malware Locality-sensitive hashing Cluster analysis Hash function Hierarchical clustering
329	Journal of Machine Learning Research747 Submitted 10/12; Revised 6/13; Published 2/14 Clustering Hidden Markov Models with Variational HEM Emanuele Coviello Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:27 Statistics Markov models Machine learning Artificial intelligence Expectationmaximization algorithm Hidden Markov model BaumWelch algorithm Forward algorithm Mixture model Speech recognition Cluster analysis K-means clustering
330	Unraveling tobacco BY-2 protein complexes with BN PAGE/LC–MS/MS and clustering methods Add to Reading List Source URL: eda.mmci.uni-saarland.de Language: English - Date: 2011-06-09 10:13:43 Biology Chemistry Biochemistry Bioinformatics Proteins Protein methods Cluster analysis Proteomics Biclustering Hierarchical clustering Immunoprecipitation Protein quaternary structure

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